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Record W2791891584 · doi:10.4000/vertigo.18970

Anthropisation du littoral à mangroves en Guadeloupe, Antilles Françaises : caractérisation et Impacts

2017· article· fr· W2791891584 on OpenAlexvenueno aff
Michelle Dahome-Di Ruggiero

Bibliographic record

VenueVertigO · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyMangroveForestryEcologyBiology

Abstract

fetched live from OpenAlex

Cet article présente les utilisations humaines en zones humides littorales de Guadeloupe dans les Antilles françaises. A partir d’une méthode variée de collectes de données (observations de terrain, relevés d’indices et enquêtes) définie depuis 2003, il expose un état des lieux de l’anthropisation : sa nature, la variabilité spatiale des utilisations et leurs caractéristiques sociales. Puis l’analyse des déterminants écologiques, sociaux et réglementaires de gestion permet d’aborder une évolution de situations pouvant aller jusqu’à des conflits sur le terrain. Enfin le relevé d’impacts environnementaux souligne la vulnérabilité de l’écosystème mangrove et la valeur socio-économique de ces utilisations, n’obéissant pas toujours aux objectifs de développement durable et aux exigences écologiques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.302
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2017
Admission routes1
Has abstractyes

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